Temporal series and neural networks: a comparative analysis of techniques in the Brazilian retail sales forecast

Claudio Felisoni de Angelo, Ronaldo Zwicker, Nuno Manoel Martins Dias Fouto and Marcos Roberto Luppe
Additional contact information
Claudio Felisoni de Angelo: FEA/USP
Ronaldo Zwicker: FEA/USP
Nuno Manoel Martins Dias Fouto: FEA/USP
Marcos Roberto Luppe: FEA/USP

Brazilian Business Review, 2011, vol. 8, issue 2, 01-21

Abstract: An important economic activity in any society regards the commercialization of assets. The retail consists exactly of the link established between the industry and the final consumer. To predict the sales is essential so that one can manage in a proper way the production and commercialization processes. In the retail, this aspect is even more important. To sale means to harmonize the concerns of those producing with those who buy. Therefore, this paper is intended to exam comparatively the application of two retail sales forecast methods in the Brazilian market: the temporal series and the neural networks. The selection of those two techniques as object of that comparison was aroused by the importance those two conceptions have assumed in the literature. Although the utilization of neural networks has provided the smallest sum of the squares of the residues, one may say that the results using models of the ARIMA type have shown to be practically equivalent.

Keywords: Temporal series; neural networks; sales forecast; retail. (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://bbronline.com.br/index.php/bbr/article/download/302/455 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bbz:fcpbbr:v:8:y:2011:i:2:p:01-21

Access Statistics for this article

Brazilian Business Review is currently edited by Emerson Mainardes

More articles in Brazilian Business Review from Fucape Business School Fucape Business School Brazilian Business Review Av. Fernando Ferrari, 1358, Boa Vista CEP 29075-505 Vitória-ES. Contact information at EDIRC.
Bibliographic data for series maintained by Sarah Lasso ( this e-mail address is bad, please contact ).